An indicator for superfluous iteration in offsite building design processes

Haller, M.; Lu, Weizhuo; Stehn, Lars; Jansson, Gustav

doi:10.1080/17452007.2014.937793

Cited by 13 publications

(9 citation statements)

References 29 publications

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“…Although production planning and control systems have been widely investigated by researchers [13][14][15], there is still much scope to develop customized systems that are tailored for the unique conditions of the construction industry [16,17]. Traditional techniques for construction planning and control are only able to manage stationary bottlenecks.…”

Section: Research Backgroundmentioning

confidence: 99%

Autonomous production tracking for augmenting output in off-site construction

Arashpour

Wakefield

Blismas

et al. 2015

Automation in Construction

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Problems in existing methods of production tracking in off-site construction result in schedule delays and increased costs. To eliminate these deficiencies, an autonomous production tracking that analyzes real-time production data is proposed. A specific implementation of the proposed production tracking mechanisms has been developed for a large off-site construction plant in Australia, and is in the process of installation. The paper shows that: (i) The production model in off-site construction is always nonlinear in the outcome due to the presence of variability (ii) in systems with a periodic production target, deviation from the schedule converges to zero at the end of production period and the same downward trend should be followed in designing plan buffers and (iii) long-term production performance in off-site construction can autonomously be monitored and controlled by observing critical variables of production. The paper provides those who manage off-site construction with recommendations on effective production tracking and management. The models and propositions in this research are of practical value and can be used to detect impending production shortfalls against periodic targets in the short-term, and adjust capacity parameters and production targets in long-term planning.

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Section: Research Backgroundmentioning

confidence: 99%

Autonomous production tracking for augmenting output in off-site construction

Arashpour

Wakefield

Blismas

et al. 2015

Automation in Construction

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“…DSM can expose the driver of rework clearly and early to avoid potential risks during project planning [79]. The sequence deviation quotient (SDQ) is another design processes management method proposed by Haller et al to detect and control superfluous iteration as well as control the risk of time overruns and quality issues within the design phase of PHP [45].…”

Section: Cluster 1: Technology and Methodsmentioning

confidence: 99%

“…The fast production and assembly of building components need accurate design. On the other hand, the design changes can reduce the benefits of PHP because of the high rework cost, as indicated in a PHP project in Sweden [45]. Incompetent design may ultimately lead to production quality problems such as joint failure, poor thermal insulation, and water vapor penetration.…”

Section: Designers' Experience Of Phpmentioning

confidence: 99%

Critical Success Factors for Project Planning and Control in Prefabrication Housing Production: A China Study

et al. 2018

Sustainability

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Abstract:The process of prefabrication housing production (PHP) has been inevitably faced with diverse challenges. A number of factors affect the successful implementation of PHP. However, the critical success factors (CSFs) remain unrevealed. This paper aims to examine the CSFs for the planning and control of PHP projects. A total of 23 factors were identified as a result of literature review, in-depth interviews and pilot studies with experts in the construction industry. A questionnaire survey was conducted with designers, manufacturers, and contractors in China. The result showed that the top five CSFs were: (1) designers' experience of PHP, (2) manufacturer's experience of PHP, (3) project manager's ability to solve problems, (4) maturity of techniques used in the detailed design phase, and (5) persistent policies and incentives. The 23 CSFs were further categorized into five groups via exploratory factor analysis, namely: (1) technology and method, (2) information, communication and collaboration, (3) external environment, (4) experience and knowledge, and (5) competence of the project manager. In particular, "technology and method" played the dominant role. This study contributes to the existing body of knowledge via a holistic approach covering the key actors of PHP such as designers, manufacturers as well as contractors to examine CSFs of PHP. These findings provided designers and project managers with a useful set of criteria for the effective project planning and control of PHP and facilitated the successful implementation PHP.

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“…F17: Adequate relevant experience and knowledge of the designers and engineers Li et al (2018) [12] emphasized that the most important factors in OSC projects are the experience and knowledge of designers. The experience and knowledge of designers have a significant impact on the success and failure of the project from start to end [57], as accurate design prevents design fluctuations, which in turn affects time and cost savings [58]. (18).…”

Section: Identification Of Critical Success Factors For Off-site Constructionmentioning

confidence: 99%

Identification and Prioritization of Critical Success Factors for Off-Site Construction Using ISM and MICMAC Analysis

Jung

Lee

2021

Sustainability

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Many studies have been conducted to define the critical success factors (CSFs) for off-site construction (OSC) activation, but there has been a lack of identification of the relationship with the identified CSFs. However, it is necessary to clearly identify the hierarchy and relationships with the success factors in order to develop specific strategies for OSC activation. This work presents a study that was conducted to identify the CSFs for OSCs and establish the relationships of the identified CSFs for OSC. First, 20 CSFs for OSCs were identified through prior study reviews related to CSFs for OSC. Next, the interpretive structural modeling (ISM), which has advantages in developing an understanding of complex relationships, was leveraged in order to analyze the relationships between 20 CSFs for OSC to derive a hierarchical model consisting of seven levels. The CSFs for OSC were classified into four groups using MICMAC analysis, which is useful for classifying factors by the strength of the relationship with factors based on driving power and dependence power. This proposed model can be used as a basis for developing management measures for OSC project success.

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An indicator for superfluous iteration in offsite building design processes

Cited by 13 publications

References 29 publications

Autonomous production tracking for augmenting output in off-site construction

Autonomous production tracking for augmenting output in off-site construction

Critical Success Factors for Project Planning and Control in Prefabrication Housing Production: A China Study

Identification and Prioritization of Critical Success Factors for Off-Site Construction Using ISM and MICMAC Analysis

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